An integrated online radioassay data storage and analytics tool for nEXO

R. H.M. Tsang; A. Piepke; S. Al Kharusi; E. Angelico; I. J. Arnquist; A. Atencio; I. Badhrees; J. Bane; V. Belov; E. P. Bernard; A. Bhat; T. Bhatta; A. Bolotnikov; P. A. Breur; J. P. Brodsky; E. Brown; T. Brunner; E. Caden; G. F. Cao; L. Q. Cao; D. Cesmecioglu; C. Chambers; E. Chambers; B. Chana; S. A. Charlebois; D. Chernyak; M. Chiu; B. Cleveland; J. R. Cohen; R. Collister; M. Cvitan; J. Dalmasson; L. Darroch; K. Deslandes; R. DeVoe; M. L. di Vacri; Y. Y. Ding; M. J. Dolinski; J. Echevers; B. Eckert; M. Elbeltagi; R. Elmansali; L. Fabris; W. Fairbank; J. Farine; Y. S. Fu; D. Gallacher; G. Gallina; P. Gautam; G. Giacomini; W. Gillis; C. Gingras; D. Goeldi; R. Gornea; G. Gratta; Y. D. Guan; C. A. Hardy; S. Hedges; M. Heffner; E. Hein; J. Holt; E. W. Hoppe; A. House; W. Hunt; A. Iverson; A. Jamil; X. S. Jiang; A. Karelin; L. J. Kaufman; I. Kotov; R. Krücken; A. Kuchenkov; K. S. Kumar; A. Larson; K. G. Leach; B. G. Lenardo; D. S. Leonard; G. Li; S. Li; Z. Li; C. Licciardi; R. Lindsay; R. MacLellan; M. Mahtab; S. Majidi; C. Malbrunot; P. Martel-Dion; J. Masbou; N. Massacret; K. McMichael; B. Mong; D. C. Moore; K. Murray; J. Nattress; C. R. Natzke; X. E. Ngwadla; K. Ni; A. Nolan; S. C. Nowicki; J. C. Nzobadila Ondze; J. L. Orrell; G. S. Ortega; C. T. Overman; H. Peltz-Smalley; A. Perna; T. Pinto Franco; A. Pocar; J. F. Pratte; V. Radeka; E. Raguzin; H. Rasiwala; D. Ray; B. M. Rebeiro; S. Rescia; F. Retière; G. Richardson; J. Ringuette; V. Riot; P. C. Rowson; N. Roy; L. Rudolph; R. Saldanha; S. Sangiorgio; S. Schwartz; J. Soderstrom; A. K. Soma; F. Spadoni; V. Stekhanov; X. L. Sun; E. Teimoori Barakoohi; S. Thibado; A. Tidball; T. Totev; S. Triambak; T. Tsang; O. A. Tyuka; R. Underwood; E. van Bruggen; V. Veeraraghavan; M. Vidal; S. Viel; M. Walent; K. Wamba; Q. D. Wang; W. Wang; Y. G. Wang; M. Watts; W. Wei; L. J. Wen; U. Wichoski; S. Wilde; M. Worcester; S. Wu; X. M. Wu; H. Yang; L. Yang; M. Yvaine; O. Zeldovich; J. Zhao; T. Ziegler

doi:10.1016/j.nima.2023.168477

An integrated online radioassay data storage and analytics tool for nEXO

R. H.M. Tsang
, A. Piepke
, S. Al Kharusi
, E. Angelico
, I. J. Arnquist
, A. Atencio
, I. Badhrees
, J. Bane
, V. Belov
, E. P. Bernard
, A. Bhat
, T. Bhatta
, A. Bolotnikov
, P. A. Breur
, J. P. Brodsky
, E. Brown
, T. Brunner
, E. Caden
, G. F. Cao
, L. Q. Cao

D. Cesmecioglu, C. Chambers, E. Chambers, B. Chana, S. A. Charlebois, D. Chernyak, M. Chiu, B. Cleveland, J. R. Cohen, R. Collister, M. Cvitan, J. Dalmasson, L. Darroch, K. Deslandes, R. DeVoe, M. L. di Vacri, Y. Y. Ding, M. J. Dolinski, J. Echevers, B. Eckert, M. Elbeltagi, R. Elmansali, L. Fabris, W. Fairbank, J. Farine, Y. S. Fu, D. Gallacher, G. Gallina, P. Gautam, G. Giacomini, W. Gillis, C. Gingras, D. Goeldi, R. Gornea, G. Gratta, Y. D. Guan, C. A. Hardy, S. Hedges, M. Heffner, E. Hein, J. Holt, E. W. Hoppe, A. House, W. Hunt, A. Iverson, A. Jamil, X. S. Jiang, A. Karelin, L. J. Kaufman, I. Kotov, R. Krücken, A. Kuchenkov, K. S. Kumar, A. Larson, K. G. Leach, B. G. Lenardo, D. S. Leonard, G. Li, S. Li, Z. Li, C. Licciardi, R. Lindsay, R. MacLellan, M. Mahtab, S. Majidi, C. Malbrunot, P. Martel-Dion, J. Masbou, N. Massacret, K. McMichael, B. Mong, D. C. Moore, K. Murray, J. Nattress, C. R. Natzke, X. E. Ngwadla, K. Ni, A. Nolan, S. C. Nowicki, J. C. Nzobadila Ondze, J. L. Orrell, G. S. Ortega, C. T. Overman, H. Peltz-Smalley, A. Perna, T. Pinto Franco, A. Pocar, J. F. Pratte, V. Radeka, E. Raguzin, H. Rasiwala, D. Ray, B. M. Rebeiro, S. Rescia, F. Retière, G. Richardson, J. Ringuette, V. Riot, P. C. Rowson, N. Roy, L. Rudolph, R. Saldanha, S. Sangiorgio, S. Schwartz, J. Soderstrom, A. K. Soma, F. Spadoni, V. Stekhanov, X. L. Sun, E. Teimoori Barakoohi, S. Thibado, A. Tidball, T. Totev, S. Triambak, T. Tsang, O. A. Tyuka, R. Underwood, E. van Bruggen, V. Veeraraghavan, M. Vidal, S. Viel, M. Walent, K. Wamba, Q. D. Wang, W. Wang, Y. G. Wang, M. Watts, W. Wei, L. J. Wen, U. Wichoski, S. Wilde, M. Worcester, S. Wu, X. M. Wu, H. Yang, L. Yang, M. Yvaine, O. Zeldovich, J. Zhao, T. Ziegler

Producción científica: Article › revisión exhaustiva

2 Citas (Scopus)

Resumen

Large-scale low-background detectors are increasingly used in rare-event searches as experimental collaborations push for enhanced sensitivity. However, building such detectors, in practice, creates an abundance of radioassay data especially during the conceptual phase of an experiment when hundreds of materials are screened for radiopurity. A tool is needed to manage and make use of the radioassay screening data to quantitatively assess detector design options. We have developed a Materials Database Application for the nEXO experiment to serve this purpose. This paper describes this database application, explains how it functions, and discusses how it streamlines the design of the experiment.

Idioma original	English
Número de artículo	168477
Publicación	Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Volumen	1055
DOI	https://doi.org/10.1016/j.nima.2023.168477
Estado	Published - oct 2023

Nota bibliográfica

Publisher Copyright:
© 2023 Elsevier B.V.

Financiación

The authors gratefully acknowledge support for this work in part by the DOE Office of Nuclear Physics, United States under grant number DE-FG02-01ER41166 . The nEXO experiment has received support from the Office of Nuclear Physics within DOE’s Office of Science, and NSF in the United States ; from NSERC, Canada , CFI, Canada , FRQNT, Canada , NRC, Canada , and the McDonald Institute (CFREF) in Canada ; from IBS in South Korea ; from RFBR in Russia ; and from CAS and NSFC in China . This work was supported in part by Laboratory Directed Research and Development (LDRD) programs at Brookhaven National Laboratory (BNL), United States , Lawrence Livermore National Laboratory (LLNL), United States , Oak Ridge National Laboratory (ORNL), United States , Pacific Northwest National Laboratory (PNNL), United States , and SLAC National Accelerator Laboratory, United States .

Financiadores	Número del financiador
McDonald Institute
National Science Foundation Arctic Social Science Program
Institute for Nuclear Physics	DE-FG02-01ER41166
Oak Ridge National Laboratory
Laboratory Directed Research and Development
Natural Sciences and Engineering Research Council of Canada
Canada Foundation for Innovation
National Natural Science Foundation of China (NSFC)
Russian Foundation for Basic Research
Chinese Academy of Sciences
Fonds de Recherche du Québec - Nature et Technologies
Institute for Basic Science (IBS)
Canada First Research Excellence Fund

ASJC Scopus subject areas

Nuclear and High Energy Physics
Instrumentation

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10.1016/j.nima.2023.168477

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Tsang, R. H. M., Piepke, A., Al Kharusi, S., Angelico, E., Arnquist, I. J., Atencio, A., Badhrees, I., Bane, J., Belov, V., Bernard, E. P., Bhat, A., Bhatta, T., Bolotnikov, A., Breur, P. A., Brodsky, J. P., Brown, E., Brunner, T., Caden, E., Cao, G. F., ... Ziegler, T. (2023). An integrated online radioassay data storage and analytics tool for nEXO. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1055, Artículo 168477. https://doi.org/10.1016/j.nima.2023.168477

@article{0e64fd82df4d47a8ba1f07d2b3058759,

title = "An integrated online radioassay data storage and analytics tool for nEXO",

abstract = "Large-scale low-background detectors are increasingly used in rare-event searches as experimental collaborations push for enhanced sensitivity. However, building such detectors, in practice, creates an abundance of radioassay data especially during the conceptual phase of an experiment when hundreds of materials are screened for radiopurity. A tool is needed to manage and make use of the radioassay screening data to quantitatively assess detector design options. We have developed a Materials Database Application for the nEXO experiment to serve this purpose. This paper describes this database application, explains how it functions, and discusses how it streamlines the design of the experiment.",

keywords = "Application software, Data management, Low background, Neutrinoless double beta decay",

author = "Tsang, \{R. H.M.\} and A. Piepke and \{Al Kharusi\}, S. and E. Angelico and Arnquist, \{I. J.\} and A. Atencio and I. Badhrees and J. Bane and V. Belov and Bernard, \{E. P.\} and A. Bhat and T. Bhatta and A. Bolotnikov and Breur, \{P. A.\} and Brodsky, \{J. P.\} and E. Brown and T. Brunner and E. Caden and Cao, \{G. F.\} and Cao, \{L. Q.\} and D. Cesmecioglu and C. Chambers and E. Chambers and B. Chana and Charlebois, \{S. A.\} and D. Chernyak and M. Chiu and B. Cleveland and Cohen, \{J. R.\} and R. Collister and M. Cvitan and J. Dalmasson and L. Darroch and K. Deslandes and R. DeVoe and \{di Vacri\}, \{M. L.\} and Ding, \{Y. Y.\} and Dolinski, \{M. J.\} and J. Echevers and B. Eckert and M. Elbeltagi and R. Elmansali and L. Fabris and W. Fairbank and J. Farine and Fu, \{Y. S.\} and D. Gallacher and G. Gallina and P. Gautam and G. Giacomini and W. Gillis and C. Gingras and D. Goeldi and R. Gornea and G. Gratta and Guan, \{Y. D.\} and Hardy, \{C. A.\} and S. Hedges and M. Heffner and E. Hein and J. Holt and Hoppe, \{E. W.\} and A. House and W. Hunt and A. Iverson and A. Jamil and Jiang, \{X. S.\} and A. Karelin and Kaufman, \{L. J.\} and I. Kotov and R. Kr{\"u}cken and A. Kuchenkov and Kumar, \{K. S.\} and A. Larson and Leach, \{K. G.\} and Lenardo, \{B. G.\} and Leonard, \{D. S.\} and G. Li and S. Li and Z. Li and C. Licciardi and R. Lindsay and R. MacLellan and M. Mahtab and S. Majidi and C. Malbrunot and P. Martel-Dion and J. Masbou and N. Massacret and K. McMichael and B. Mong and Moore, \{D. C.\} and K. Murray and J. Nattress and Natzke, \{C. R.\} and Ngwadla, \{X. E.\} and K. Ni and A. Nolan and Nowicki, \{S. C.\} and \{Nzobadila Ondze\}, \{J. C.\} and Orrell, \{J. L.\} and Ortega, \{G. S.\} and Overman, \{C. T.\} and H. Peltz-Smalley and A. Perna and \{Pinto Franco\}, T. and A. Pocar and Pratte, \{J. F.\} and V. Radeka and E. Raguzin and H. Rasiwala and D. Ray and Rebeiro, \{B. M.\} and S. Rescia and F. Reti{\`e}re and G. Richardson and J. Ringuette and V. Riot and Rowson, \{P. C.\} and N. Roy and L. Rudolph and R. Saldanha and S. Sangiorgio and S. Schwartz and J. Soderstrom and Soma, \{A. K.\} and F. Spadoni and V. Stekhanov and Sun, \{X. L.\} and \{Teimoori Barakoohi\}, E. and S. Thibado and A. Tidball and T. Totev and S. Triambak and T. Tsang and Tyuka, \{O. A.\} and R. Underwood and \{van Bruggen\}, E. and V. Veeraraghavan and M. Vidal and S. Viel and M. Walent and K. Wamba and Wang, \{Q. D.\} and W. Wang and Wang, \{Y. G.\} and M. Watts and W. Wei and Wen, \{L. J.\} and U. Wichoski and S. Wilde and M. Worcester and S. Wu and Wu, \{X. M.\} and H. Yang and L. Yang and M. Yvaine and O. Zeldovich and J. Zhao and T. Ziegler",

note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.",

year = "2023",

month = oct,

doi = "10.1016/j.nima.2023.168477",

language = "English",

volume = "1055",

}

Tsang, RHM, Piepke, A, Al Kharusi, S, Angelico, E, Arnquist, IJ, Atencio, A, Badhrees, I, Bane, J, Belov, V, Bernard, EP, Bhat, A, Bhatta, T, Bolotnikov, A, Breur, PA, Brodsky, JP, Brown, E, Brunner, T, Caden, E, Cao, GF, Cao, LQ, Cesmecioglu, D, Chambers, C, Chambers, E, Chana, B, Charlebois, SA, Chernyak, D, Chiu, M, Cleveland, B, Cohen, JR, Collister, R, Cvitan, M, Dalmasson, J, Darroch, L, Deslandes, K, DeVoe, R, di Vacri, ML, Ding, YY, Dolinski, MJ, Echevers, J, Eckert, B, Elbeltagi, M, Elmansali, R, Fabris, L, Fairbank, W, Farine, J, Fu, YS, Gallacher, D, Gallina, G, Gautam, P, Giacomini, G, Gillis, W, Gingras, C, Goeldi, D, Gornea, R, Gratta, G, Guan, YD, Hardy, CA, Hedges, S, Heffner, M, Hein, E, Holt, J, Hoppe, EW, House, A, Hunt, W, Iverson, A, Jamil, A, Jiang, XS, Karelin, A, Kaufman, LJ, Kotov, I, Krücken, R, Kuchenkov, A, Kumar, KS, Larson, A, Leach, KG, Lenardo, BG, Leonard, DS, Li, G, Li, S, Li, Z, Licciardi, C, Lindsay, R, MacLellan, R, Mahtab, M, Majidi, S, Malbrunot, C, Martel-Dion, P, Masbou, J, Massacret, N, McMichael, K, Mong, B, Moore, DC, Murray, K, Nattress, J, Natzke, CR, Ngwadla, XE, Ni, K, Nolan, A, Nowicki, SC, Nzobadila Ondze, JC, Orrell, JL, Ortega, GS, Overman, CT, Peltz-Smalley, H, Perna, A, Pinto Franco, T, Pocar, A, Pratte, JF, Radeka, V, Raguzin, E, Rasiwala, H, Ray, D, Rebeiro, BM, Rescia, S, Retière, F, Richardson, G, Ringuette, J, Riot, V, Rowson, PC, Roy, N, Rudolph, L, Saldanha, R, Sangiorgio, S, Schwartz, S, Soderstrom, J, Soma, AK, Spadoni, F, Stekhanov, V, Sun, XL, Teimoori Barakoohi, E, Thibado, S, Tidball, A, Totev, T, Triambak, S, Tsang, T, Tyuka, OA, Underwood, R, van Bruggen, E, Veeraraghavan, V, Vidal, M, Viel, S, Walent, M, Wamba, K, Wang, QD, Wang, W, Wang, YG, Watts, M, Wei, W, Wen, LJ, Wichoski, U, Wilde, S, Worcester, M, Wu, S, Wu, XM, Yang, H, Yang, L, Yvaine, M, Zeldovich, O, Zhao, J & Ziegler, T 2023, 'An integrated online radioassay data storage and analytics tool for nEXO', Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 1055, 168477. https://doi.org/10.1016/j.nima.2023.168477

TY - JOUR

T1 - An integrated online radioassay data storage and analytics tool for nEXO

AU - Tsang, R. H.M.

AU - Piepke, A.

AU - Al Kharusi, S.

AU - Angelico, E.

AU - Arnquist, I. J.

AU - Atencio, A.

AU - Badhrees, I.

AU - Bane, J.

AU - Belov, V.

AU - Bernard, E. P.

AU - Bhat, A.

AU - Bhatta, T.

AU - Bolotnikov, A.

AU - Breur, P. A.

AU - Brodsky, J. P.

AU - Brown, E.

AU - Brunner, T.

AU - Caden, E.

AU - Cao, G. F.

AU - Cao, L. Q.

AU - Cesmecioglu, D.

AU - Chambers, C.

AU - Chambers, E.

AU - Chana, B.

AU - Charlebois, S. A.

AU - Chernyak, D.

AU - Chiu, M.

AU - Cleveland, B.

AU - Cohen, J. R.

AU - Collister, R.

AU - Cvitan, M.

AU - Dalmasson, J.

AU - Darroch, L.

AU - Deslandes, K.

AU - DeVoe, R.

AU - di Vacri, M. L.

AU - Ding, Y. Y.

AU - Dolinski, M. J.

AU - Echevers, J.

AU - Eckert, B.

AU - Elbeltagi, M.

AU - Elmansali, R.

AU - Fabris, L.

AU - Fairbank, W.

AU - Farine, J.

AU - Fu, Y. S.

AU - Gallacher, D.

AU - Gallina, G.

AU - Gautam, P.

AU - Giacomini, G.

AU - Gillis, W.

AU - Gingras, C.

AU - Goeldi, D.

AU - Gornea, R.

AU - Gratta, G.

AU - Guan, Y. D.

AU - Hardy, C. A.

AU - Hedges, S.

AU - Heffner, M.

AU - Hein, E.

AU - Holt, J.

AU - Hoppe, E. W.

AU - House, A.

AU - Hunt, W.

AU - Iverson, A.

AU - Jamil, A.

AU - Jiang, X. S.

AU - Karelin, A.

AU - Kaufman, L. J.

AU - Kotov, I.

AU - Krücken, R.

AU - Kuchenkov, A.

AU - Kumar, K. S.

AU - Larson, A.

AU - Leach, K. G.

AU - Lenardo, B. G.

AU - Leonard, D. S.

AU - Li, G.

AU - Li, S.

AU - Li, Z.

AU - Licciardi, C.

AU - Lindsay, R.

AU - MacLellan, R.

AU - Mahtab, M.

AU - Majidi, S.

AU - Malbrunot, C.

AU - Martel-Dion, P.

AU - Masbou, J.

AU - Massacret, N.

AU - McMichael, K.

AU - Mong, B.

AU - Moore, D. C.

AU - Murray, K.

AU - Nattress, J.

AU - Natzke, C. R.

AU - Ngwadla, X. E.

AU - Ni, K.

AU - Nolan, A.

AU - Nowicki, S. C.

AU - Nzobadila Ondze, J. C.

AU - Orrell, J. L.

AU - Ortega, G. S.

AU - Overman, C. T.

AU - Peltz-Smalley, H.

AU - Perna, A.

AU - Pinto Franco, T.

AU - Pocar, A.

AU - Pratte, J. F.

AU - Radeka, V.

AU - Raguzin, E.

AU - Rasiwala, H.

AU - Ray, D.

AU - Rebeiro, B. M.

AU - Rescia, S.

AU - Retière, F.

AU - Richardson, G.

AU - Ringuette, J.

AU - Riot, V.

AU - Rowson, P. C.

AU - Roy, N.

AU - Rudolph, L.

AU - Saldanha, R.

AU - Sangiorgio, S.

AU - Schwartz, S.

AU - Soderstrom, J.

AU - Soma, A. K.

AU - Spadoni, F.

AU - Stekhanov, V.

AU - Sun, X. L.

AU - Teimoori Barakoohi, E.

AU - Thibado, S.

AU - Tidball, A.

AU - Totev, T.

AU - Triambak, S.

AU - Tsang, T.

AU - Tyuka, O. A.

AU - Underwood, R.

AU - van Bruggen, E.

AU - Veeraraghavan, V.

AU - Vidal, M.

AU - Viel, S.

AU - Walent, M.

AU - Wamba, K.

AU - Wang, Q. D.

AU - Wang, W.

AU - Wang, Y. G.

AU - Watts, M.

AU - Wei, W.

AU - Wen, L. J.

AU - Wichoski, U.

AU - Wilde, S.

AU - Worcester, M.

AU - Wu, S.

AU - Wu, X. M.

AU - Yang, H.

AU - Yang, L.

AU - Yvaine, M.

AU - Zeldovich, O.

AU - Zhao, J.

AU - Ziegler, T.

PY - 2023/10

Y1 - 2023/10

N2 - Large-scale low-background detectors are increasingly used in rare-event searches as experimental collaborations push for enhanced sensitivity. However, building such detectors, in practice, creates an abundance of radioassay data especially during the conceptual phase of an experiment when hundreds of materials are screened for radiopurity. A tool is needed to manage and make use of the radioassay screening data to quantitatively assess detector design options. We have developed a Materials Database Application for the nEXO experiment to serve this purpose. This paper describes this database application, explains how it functions, and discusses how it streamlines the design of the experiment.

AB - Large-scale low-background detectors are increasingly used in rare-event searches as experimental collaborations push for enhanced sensitivity. However, building such detectors, in practice, creates an abundance of radioassay data especially during the conceptual phase of an experiment when hundreds of materials are screened for radiopurity. A tool is needed to manage and make use of the radioassay screening data to quantitatively assess detector design options. We have developed a Materials Database Application for the nEXO experiment to serve this purpose. This paper describes this database application, explains how it functions, and discusses how it streamlines the design of the experiment.

KW - Application software

KW - Data management

KW - Low background

KW - Neutrinoless double beta decay

UR - https://www.scopus.com/pages/publications/85164224236

UR - https://www.scopus.com/pages/publications/85164224236#tab=citedBy

U2 - 10.1016/j.nima.2023.168477

DO - 10.1016/j.nima.2023.168477

M3 - Article

AN - SCOPUS:85164224236

SN - 0168-9002

VL - 1055

JO - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

JF - Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

M1 - 168477

ER -

An integrated online radioassay data storage and analytics tool for nEXO

Resumen

Nota bibliográfica

Financiación

ASJC Scopus subject areas

Acceder al documento

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